Why is my Python script for large CSV processing suddenly bottlenecking on memory?

I've got a Python script that processes multi-GB CSV files, and it's suddenly hitting major memory issues after updating Pandas. I'm trying to figure out if there's a more memory-efficient way to handle large dataframes or if I'm missing a key optimization technique. Any immediate thoughts or proven strategies for this specific problem?